Vehicle-to-vehicle accident detection

Abstract

One or more driving analysis computing devices in a driving analysis system may be configured to analyze driving data, determine driving behaviors, and determine whether a collision is imminent or has occurred using vehicle-to-vehicle (V2V) communications. Determination of whether a collision has occurred may be based on X-axis, Y-axis, and Z-axis positional data from two vehicles. Driving data from multiple vehicles may be collected by vehicle sensors or other vehicle-based systems, transmitted using V2V communications, and then analyzed and compared to determine various driving behaviors by the drivers of the vehicles.

1 . A driving analysis computing device comprising:
 a processing unit comprising a processor; and   a memory unit storing computer-executable instructions, which when executed by the processing unit, cause the driving analysis computing device to:   determine a probability of a collision between a first vehicle and a second vehicle   generate a collision identification number associated with the probability of the collision;   determine that a collision between the first vehicle and the second vehicle has occurred and associate the collision with the collision identification number;   send, to a mobile computing device associated with the first vehicle, a request for additional driving data of a third vehicle that is within a predetermined distance of the first vehicle upon determination that the collision has occurred; and   receive, from the mobile computing device associated with the first vehicle and in response to sending the request, additional driving data of the third vehicle tagged with the collision identification number; and   conduct an accident analysis based on the additional driving data of the third vehicle.   
     
     
         2 . The driving analysis computing device of  claim 1 , wherein the accident analysis comprises at least a likelihood of fault analysis, a fraud detection analysis or combinations thereof, wherein the likelihood of fault analysis comprises determining, upon determination that the collision has occurred, a likelihood of fault of whether the first vehicle or the second vehicle was at fault for the collision based on a set of fault detection rules and the additional driving data of the third vehicle, and wherein the fraud detection analysis comprises validation of a claim submitted by a driver of the first vehicle indicating damage to the first vehicle based on comparison of the claim to the additional driving data of the third vehicle. 
     
     
         3 . The driving analysis computing device of  claim 1 , wherein receiving of first vehicle driving data and second vehicle driving data is performed in real-time, and wherein the vehicle driving data comprises three-dimensional position data. 
     
     
         4 . The driving analysis computing device of  claim 1 , wherein first vehicle driving data collected by vehicle operation sensors within the first vehicle comprises a first direction data for the first vehicle and a first acceleration data for the first vehicle, and wherein second vehicle driving data collected by vehicle operation sensors within the second vehicle further comprises a second direction data for the second vehicle and a second acceleration data for the second vehicle. 
     
     
         5 . The driving analysis computing device of  claim 4 ,
 wherein a first projected location for the first vehicle during a first time interval is further based on the first direction data and the first acceleration data, and   wherein a second projected location for the second vehicle during the first time interval is further based on the second direction data and the second acceleration data.   
     
     
         6 . The driving analysis computing device of  claim 5 , the memory unit storing computer-executable instructions, which when executed by the processing unit, further cause the driving analysis computing device to:
 transmit a first and a second set of warnings to the second vehicle.   
     
     
         7 . The driving analysis computing device of  claim 6 , wherein:
 the first set of warnings is based on historical behavior of a first driver of the first vehicle; and   the second set of warnings is based on historical behavior of a second driver of the second vehicle.   
     
     
         8 . The driving analysis computing device of  claim 6 , wherein the first time interval is determined by a driver of the first vehicle. 
     
     
         9 . A method, comprising:
 determining a probability of a collision between the first vehicle and the second vehicle;   generating a collision identification number associated with the probability of the collision;   determining that a collision between the first vehicle and the second vehicle has occurred and associating the collision with the collision identification number;   sending, to a mobile computing device associated with the first vehicle, a request for additional driving data of a third vehicle that is within a predetermined distance of the first vehicle upon determination that the collision has occurred;   receiving, from the mobile computing device associated with the first vehicle and in response to sending the request, additional driving data of the third vehicle tagged with the collision identification number; and   conducting an accident analysis based on the additional driving data of the third vehicle.   
     
     
         10 . The method of  claim 9 , wherein determining whether a collision between the first vehicle and the second vehicle has occurred based on the first vehicle driving data collected by vehicle operation sensors within the first vehicle and the second vehicle driving data collected by vehicle operation sensors within the second vehicle comprises:
 determining whether a difference between first positional data of the first vehicle driving data and second positional data of the fourth vehicle driving data is within a first range of values.   
     
     
         11 . The method of  claim 9 , wherein the first vehicle driving data comprises three-dimensional position data. 
     
     
         12 . The method of  claim 9 , wherein the receiving the first vehicle driving data and the second vehicle driving data is performed in real-time. 
     
     
         13 . The method of  claim 9 , wherein the first vehicle driving data comprises a first direction data for the first vehicle and a first acceleration data for the first vehicle, and wherein the second vehicle driving data further comprises a second direction data for the second vehicle and a second acceleration data for the second vehicle. 
     
     
         14 . The method of  claim 13 ,
 wherein a first projected location for the first vehicle during a first time interval is further based on the first direction data and the first acceleration data, and   wherein a second projected location for the second vehicle during the first time interval is further based on the second direction data and the second acceleration data.   
     
     
         15 . The method of  claim 14 , further comprising:
 transmitting a first and a second set of warnings to the second vehicle.   
     
     
         16 . The method of  claim 15 , wherein the first set of warnings is based on historical behavior of a first driver of the first vehicle and the second set of warnings is based on historical behavior of a second driver of the second vehicle. 
     
     
         17 . The method of  claim 14 , wherein the first time interval is determined by a driver of the first vehicle. 
     
     
         18 . A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to:
 determine a probability of a collision between the first vehicle and the second vehicle;   generate a collision identification number associated with the probability of the collision;   determine that a collision between the first vehicle and the second vehicle has occurred and associate the collision with the collision identification number;   send, to a mobile computing device associated with the first vehicle, a request for additional driving data of a third vehicle that is within a predetermined distance of the first vehicle upon determination that the collision has occurred;   receive, from the mobile computing device associated with the first vehicle and in response to sending the request, additional driving data of the third vehicle tagged with the collision identification number; and   conduct an accident analysis based on the additional driving data of the third vehicle.